Engineering machine part recommendation method

• Main Authors: WANG ZHENGHANG, LUO CHAO, DING JINHAO, TU ZHUOYI, YU PING
• Format: Patent
• Language: Chinese; English
• Published: 31.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to the technical field of engineering machinery, in particular to an engineering machinery part recommendation method. The method comprises the following steps: S1, data collection: collecting historical behaviors and interest information of a user; s2, data cleaning and preprocessing: cleaning and preprocessing the collected data; s3, feature extraction: converting historical behaviors of the user into digital features; s4, model training: training a recommendation algorithm model by using the labeled data set; and S5, recommendation feedback: recommending personalized contents to the user according to the trained model. According to the characteristics of diversification and complication of engineering machinery user characteristics, consideration is carried out from multiple aspects, so that the requirements of users can be better met. 本发明涉及工程机械技术领域，具体的，涉及一种工程机械配件推荐方法。该方法包括以下步骤：S1、数据收集：收集用户的历史行为、兴趣信息；S2、数据清洗和预处理：对收集到的数据进行清洗和预处理；S3、特征提取：将用户的历史行为转化为数字特征；S4、模型训练：利用已标注的数据集训练推荐算法模型；S5、推荐反馈